R

Full R course — 51 topics from the basics to advanced use.

Lessons

• Descriptive Statistics & EDA
• Probability Distributions & Simulation
• Statistical Inference & Hypothesis Testing
• Linear Models & Regression
• GLMs, Mixed & Nonlinear Models
• Machine Learning with tidymodels
• Time Series
• Object-Oriented Programming
• Metaprogramming
• Performance
• data.table
• Rcpp
• Parallel & Asynchronous Computing
• Big Data
• Introduction to R
• Installation & Tooling
• The Console, Scripts, Help & Packages
• Variables, Assignment & Basic Data Types
• Operators
• Vectors
• Missing & Special Values
• Control Flow
• Functions
• Reproducible Reports
• Shiny
• Web APIs, Scraping & JSON
• Text Mining & NLP
• Spatial Data & Maps
• Package Development
• Reproducibility & Workflow
• Interoperability
• Domain Ecosystems
• Best Practices & Style
• Capstone Projects
• Appendices
• Matrices & Arrays
• Lists
• Factors
• Data Frames & Tibbles
• The apply Family
• Strings & Regular Expressions
• Dates & Times
• Importing & Exporting Data
• Data Wrangling with dplyr
• Tidy Data with tidyr
• Functional Programming with purrr
• Base R Graphics
• Data Visualization with ggplot2
• Environments, Scoping & Closures
• Conditions: Errors, Warnings & Debugging
• Course Overview